Sr. Applied Scientist - Computer Vision, Amazon Robotics

$150,400 - $260,000/Yr

Amazon - Seattle, WA

Full-time - Senior

Seattle, WA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Senior Applied Scientist in Computer Vision at Amazon Robotics is responsible for developing and implementing advanced machine learning models for robotic systems. This role focuses on creating scalable computer vision solutions that enhance the interaction of robots within fulfillment centers. The position involves hands-on coding, mentoring team members, and collaborating with various stakeholders to drive innovative solutions that address complex real-world challenges in robotics.

Responsibilities

• Architect, design, and implement Machine Learning models for vision systems on robotic platforms
• Optimize, deploy, and support at scale ML models on the edge
• Influence the team's strategy and contribute to long-term vision and roadmap
• Work with stakeholders across science and operations teams to iterate on design and implementation
• Maintain high standards by participating in reviews and creating mechanisms for continuous improvement
• Prototype and test concepts or features through simulation and with live robotic equipment
• Work directly with customers and partners to test prototypes and incorporate feedback
• Mentor other engineer team members

Requirements

• 6+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
• Demonstrated expertise in computer vision and machine learning techniques for robotics systems.

Nice-to-haves

• Extensive experience writing scientific papers, with multiple publications in top machine learning, computer vision or NLP conferences/journals
• Expertise in generative models, 3D vision, transformers, or other computer vision, LLMs or machine learning techniques
• Experience in large data analysis
• Solid knowledge of statistics and probability
• Experience working in a fast paced, highly collaborative, dynamic work environment
• Ability to communicate effectively across multiple organizations in the company.

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan